KMBNIT02 AI and ML for Business UNIT-1 Introduction and Data sources of AI Knowledge Acquisitions, Knowledge Representation History of Machine Learning Framework for building, ML system- KDD process mode Introduction of Machine Learning Approaches Artificial Neural Network, Clustering Reinforcement Learning Decision Tree learning ,Bayesian Network, Support vector machine Genetic Algorithm, Issues in Machine Learning Data Science Vs Data Machine UNIT-2 Lorem ipsum dolor sit amet consectetur Donec rutrum congue leo eget malesuada Lorem ipsum dolor sit Sit amet consectetur Curabitur non nulla sit amet nisl temp Sed porttitor lectus nibh. UNIT-3 Lorem ipsum dolor sit amet consectetur Donec rutrum congue leo eget malesuada Lorem ipsum dolor sit amet consectetur Donec rutrum congue leo eget malesuada Lorem ipsum dolor sit UNIT-4 Lorem ipsum dolor sit amet consectetur Donec rutrum congue leo eget malesuada Lorem ipsum dolor sit Sit amet consectetur Curabitur non nulla sit amet nisl temp Sed porttitor lectus nibh. UNIT-5 Lorem ipsum dolor sit amet consectetur Donec rutrum congue leo eget malesuada Lorem ipsum dolor sit amet consectetur Donec rutrum congue leo eget malesuada Lorem ipsum dolor sit
